Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks
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DOI: 10.1016/j.jconhyd.2021.103867
Abstract: The earth texture with complex morphological geometry and compositions such as shale and carbonate rocks, is typically characterized with sparse field samples because of an expensive and time-consuming characterization process. Accordingly, generating arbitrary large size… read more here.
Keywords: generative adversarial; neural networks; earth texture; size ... See more keywords